These advances, however, have also highlighted several shortcomings in many DL methods, which arise from the nature of the medical settings: not only are the tasks themselves quite difficult, but data availability is a significant hurdle for most of the common methods used successfully in other domains [1]}. Furthermore, when there is available data, it tends to be limited to only a small fraction of the cases one would observe in real-world scenarios: everything from instruments and acquisition devices, to procedures used and the lighting conditions are variable and can change from a hospital-to-hospital basis [2]}.
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